{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81903"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81903","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Learning From a Monotonous, Ignorant Teacher","abstract":"\"The third learning setting combines the first and second in that we both give our computer preclassified examples and allow it to pose membership queries. The unknown function f may now classify examples in one of three possible ways: \"\"+\"\", \"\"$-$\"\" or \"\"?\"\". We prove general results for when it is possible for a computer to learn to be ignorant in this three-valued setting (+, $-$, ?) that utilizes results from the two-valued (+, $-$) setting. The three-valued setting we consider differs from the standard three-valued setting in that the set of possible functions that f could be, together with the set of \"\"+\"\", \"\"$-$\"\" examples determine which examples can be classified \"\"?\"\".\"","abstract_html":""The third learning setting combines the first and second in that we both give our computer preclassified examples and allow it to pose membership queries. The unknown function f may now classify examples in one of three possible ways: ""+"", ""$-$"" or ""?"". We prove general results for when it is possible for a computer to learn to be ignorant in this three-valued setting (+, $-$, ?) that utilizes results from the two-valued (+, $-$) setting. The three-valued setting we consider differs from the standard three-valued setting in that the set of possible functions that f could be, together with the set of ""+"", ""$-$"" examples determine which examples can be classified ""?""."","abstract_has_math":true,"creators":["Mishra, Nina"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Pitt, Leonard"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:20:55Z","date_published":"2015-09-25T20:20:55Z","updated_at":"2026-07-22T22:26:17Z","subjects":["Artificial Intelligence"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI9812710"],"render_values":[{"text":"(MiAaPQ)AAI9812710","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81903","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Pitt, Leonard"]},{"key":"dc:creator","label":"Author","values":["Mishra, Nina"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:20:55Z","10000-01-01","1997"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Artificial Intelligence"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/81903","(MiAaPQ)AAI9812710"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"The third learning setting combines the first and second in that we both give our computer preclassified examples and allow it to pose membership queries. The unknown function f may now classify examples in one of three possible ways: \"\"+\"\", \"\"$-$\"\" or \"\"?\"\". We prove general results for when it is possible for a computer to learn to be ignorant in this three-valued setting (+, $-$, ?) that utilizes results from the two-valued (+, $-$) setting. The three-valued setting we consider differs from the standard three-valued setting in that the set of possible functions that f could be, together with the set of \"\"+\"\", \"\"$-$\"\" examples determine which examples can be classified \"\"?\"\".\"","Made available in DSpace on 2015-09-25T20:20:55Z (GMT). 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The unknown function f may now classify examples in one of three possible ways: \"\"+\"\", \"\"$-$\"\" or \"\"?\"\". We prove general results for when it is possible for a computer to learn to be ignorant in this three-valued setting (+, $-$, ?) that utilizes results from the two-valued (+, $-$) setting. The three-valued setting we consider differs from the standard three-valued setting in that the set of possible functions that f could be, together with the set of \"\"+\"\", \"\"$-$\"\" examples determine which examples can be classified \"\"?\"\".\"","Made available in DSpace on 2015-09-25T20:20:55Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9812710.pdf: 5949013 bytes, checksum: 9c44cf612cd58effb7cee6076d825182 (MD5) Previous issue date: 1997","Embargo set by: Seth Robbins for item 83184 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","108 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997."],"dc:identifier":["http://hdl.handle.net/2142/81903","(MiAaPQ)AAI9812710"],"dc:language":["eng"],"dc:subject":["Artificial Intelligence"],"dc:title":["Learning From a Monotonous, Ignorant Teacher"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:17Z"}